Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Cervone, Guido"'
Autor:
Golosov, Nikolay1,2 (AUTHOR) golosov@psu.edu, Cervone, Guido1,2,3 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p3981. 24p.
This chapter proposes and provides an in-depth discussion of a scalable solution for running ensemble simulation for solar energy production. Generating a forecast ensemble is computationally expensive. But with the help of Analog Ensemble, forecast
Externí odkaz:
http://arxiv.org/abs/2201.06962
Active volcanoes are globally distributed and pose societal risks at multiple geographic scales, ranging from local hazards to regional/international disruptions. Many volcanoes do not have continuous ground monitoring networks; meaning that satellit
Externí odkaz:
http://arxiv.org/abs/2109.12767
Atmospheric correction is a fundamental task in remote sensing because observations are taken either of the atmosphere or looking through the atmosphere. Atmospheric correction errors can significantly alter the spectral signature of the observations
Externí odkaz:
http://arxiv.org/abs/2107.04631
The Analog Ensemble (AnEn) technique has been shown effective on several weather problems. Unlike previous weather analogs that are sought within a large spatial domain and an extended temporal window, AnEn strictly confines space and time, and indep
Externí odkaz:
http://arxiv.org/abs/2103.04530
The rising temperature is one of the key indicators of a warming climate, and it can cause extensive stress to biological systems as well as built structures. Due to the heat island effect, it is most severe in urban environments compared to other la
Externí odkaz:
http://arxiv.org/abs/2102.02892
Autor:
Archer, Cristina L., Cervone, Guido, Golbazi, Maryam, Fahel, Nicolas Al, Hultquist, Carolynne
The first goal of this study is to quantify the magnitude and spatial variability of air quality changes in the US during the COVID-19 pandemic. We focus on two federally regulated pollutants, nitrogen dioxide (NO2), and fine particulate matter (PM2.
Externí odkaz:
http://arxiv.org/abs/2006.15279
The Analog Ensemble (AnEn) method tries to estimate the probability distribution of the future state of the atmosphere with a set of past observations that correspond to the best analogs of a deterministic Numerical Weather Prediction (NWP). This mod
Externí odkaz:
http://arxiv.org/abs/1909.11865
Autor:
Balasubramanian, Vivek, Turilli, Matteo, Hu, Weiming, Lefebvre, Matthieu, Lei, Wenjie, Cervone, Guido, Tromp, Jeroen, Jha, Shantenu
Many scientific problems require multiple distinct computational tasks to be executed in order to achieve a desired solution. We introduce the Ensemble Toolkit (EnTK) to address the challenges of scale, diversity and reliability they pose. We describ
Externí odkaz:
http://arxiv.org/abs/1710.08491
Autor:
Kugler, Tracy A., Grace, Kathryn, Wrathall, David J., de Sherbinin, Alex, Van Riper, David, Aubrecht, Christoph, Comer, Douglas, Adamo, Susana B., Cervone, Guido, Engstrom, Ryan, Hultquist, Carolynne, Gaughan, Andrea E., Linard, Catherine, Moran, Emilio, Stevens, Forrest, Tatem, Andrew J., Tellman, Beth, Van Den Hoek, Jamon
Publikováno v:
Population and Environment, 2019 Dec 01. 41(2), 209-234.
Externí odkaz:
https://www.jstor.org/stable/45287110